Dive deep into large business datasets to uncover valuable insights that can be turned into actionable hypotheses.
Design and develop reports/visualizations.
Create automated analytical solutions using programming skills that provide models from raw data and implement the logic of KPIs.
Perform proactive investigations of data sources to discover new trends, opportunities, or problems.
Present data in a way that is understandable to those with limited data knowledge or experience.
Write queries to produce data sets answering requests as accurately and completely as possible: this includes evaluating available data, formatting, cleaning, and validating data.
Requirements
Bachelor's or Master's degree in Statistics, Mathematics, Econometrics, Business Analytics, Computer Science, or any related field of study.
At least 2 years of experience in the related field.
Experience building reports on BI tools like Tableau, and PowerBI.
Excellent oral and written communication skills; Ability to clearly explain concepts and actionable insights.
High proficiency with MS Excel and ability to analyze large data sets, ability to collect and review data in complex spreadsheets.
A curious person who gets motivated by solving data challenges, understanding customer behavior, and exploring the complexity of digital payment data.
Excellent problem-solving skills and attention to detail.
Experience in Python and most common data manipulation and data science packages (e.g. Pandas, Numpy, SKLearn).